Li, Xiao

61 publications

ICML 2025 A Comprehensive Framework for Analyzing the Convergence of Adam: Bridging the Gap with SGD Ruinan Jin, Xiao Li, Yaoliang Yu, Baoxiang Wang

JMLR 2025 A New Random Reshuffling Method for Nonsmooth Nonconvex Finite-Sum Optimization Junwen Qiu, Xiao Li, Andre Milzarek

ICLR 2025 ADBM: Adversarial Diffusion Bridge Model for Reliable Adversarial Purification Xiao Li, Wenxuan Sun, Huanran Chen, Qiongxiu Li, Yingzhe He, Jie Shi, Xiaolin Hu

NeurIPS 2025 Accelerating Block Coordinate Descent for LLM Finetuning via Landscape Expansion Qijun Luo, Yifei Shen, Liangzu Peng, Dongsheng Li, Xiao Li

ICCV 2025 Bitrate-Controlled Diffusion for Disentangling Motion and Content in Video Xiao Li, Qi Chen, Xiulian Peng, Kai Yu, Xie Chen, Yan Lu

ICLR 2025 Efficient Neuron Segmentation in Electron Microscopy by Affinity-Guided Queries Hang Chen, Chufeng Tang, Xiao Li, Xiaolin Hu

ICCV 2025 PBCAT: Patch-Based Composite Adversarial Training Against Physically Realizable Attacks on Object Detection Xiao Li, Yiming Zhu, Yifan Huang, Wei Zhang, Yingzhe He, Jie Shi, Xiaolin Hu

NeurIPS 2025 StreamBP: Memory-Efficient Exact Backpropagation for Long Sequence Training of LLMs Qijun Luo, Mengqi Li, Lei Zhao, Xiao Li

ICCV 2025 StreamGS: Online Generalizable Gaussian Splatting Reconstruction for Unposed Image Streams Yang Li, Jinglu Wang, Lei Chu, Xiao Li, Shiu-Hong Kao, Ying-Cong Chen, Yan Lu

NeurIPS 2025 Text-to-Code Generation for Modular Building Layouts in Building Information Modeling Yinyi Wei, Xiao Li

JMLR 2025 Understanding Deep Representation Learning via Layerwise Feature Compression and Discrimination Peng Wang, Xiao Li, Can Yaras, Zhihui Zhu, Laura Balzano, Wei Hu, Qing Qu

NeurIPS 2025 Understanding Representation Dynamics of Diffusion Models via Low-Dimensional Modeling Xiao Li, Zekai Zhang, Xiang Li, Siyi Chen, Zhihui Zhu, Peng Wang, Qing Qu

ICML 2025 Understanding and Mitigating Memorization in Diffusion Models for Tabular Data Zhengyu Fang, Zhimeng Jiang, Huiyuan Chen, Xiao Li, Jing Li

NeurIPS 2024 BAdam: A Memory Efficient Full Parameter Optimization Method for Large Language Models Qijun Luo, Hengxu Yu, Xiao Li

CPAL 2024 Investigating the Catastrophic Forgetting in Multimodal Large Language Model Fine-Tuning Yuexiang Zhai, Shengbang Tong, Xiao Li, Mu Cai, Qing Qu, Yong Jae Lee, Yi Ma

CVPR 2024 Language-Driven Anchors for Zero-Shot Adversarial Robustness Xiao Li, Wei Zhang, Yining Liu, Zhanhao Hu, Bo Zhang, Xiaolin Hu

ICML 2024 Neural Collapse in Multi-Label Learning with Pick-All-Label Loss Pengyu Li, Xiao Li, Yutong Wang, Qing Qu

ECCV 2024 PartImageNet++ Dataset: Scaling up Part-Based Models for Robust Recognition Xiao Li, Yining Liu, Na Dong, Sitian Qin, Xiaolin Hu

L4DC 2024 System-Level Safety Guard: Safe Tracking Control Through Uncertain Neural Network Dynamics Models Xiao Li, Yutong Li, Anouck Girard, Ilya Kolmanovsky

NeurIPSW 2024 Understanding Diffusion-Based Representation Learning via Low-Dimensional Modeling Xiao Li, Zekai Zhang, Xiang Li, Siyi Chen, Zhihui Zhu, Peng Wang, Qing Qu

TMLR 2024 Understanding and Improving Transfer Learning of Deep Models via Neural Collapse Xiao Li, Sheng Liu, Jinxin Zhou, Xinyu Lu, Carlos Fernandez-Granda, Zhihui Zhu, Qing Qu

NeurIPS 2023 A Deep Instance Generative Framework for MILP Solvers Under Limited Data Availability Zijie Geng, Xijun Li, Jie Wang, Xiao Li, Yongdong Zhang, Feng Wu

AAAI 2023 DyRRen: A Dynamic Retriever-Reranker-Generator Model for Numerical Reasoning over Tabular and Textual Data Xiao Li, Yin Zhu, Sichen Liu, Jiangzhou Ju, Yuzhong Qu, Gong Cheng

ICCV 2023 Efficient View Synthesis with Neural Radiance Distribution Field Yushuang Wu, Xiao Li, Jinglu Wang, Xiaoguang Han, Shuguang Cui, Yan Lu

TMLR 2023 Finite-Time Analysis of Decentralized Single-Timescale Actor-Critic Qijun Luo, Xiao Li

NeurIPSW 2023 High Probability Guarantees for Random Reshuffling Hengxu Yu, Xiao Li

CVPR 2023 High-Fidelity and Freely Controllable Talking Head Video Generation Yue Gao, Yuan Zhou, Jinglu Wang, Xiao Li, Xiang Ming, Yan Lu

NeurIPSW 2023 Investigating the Catastrophic Forgetting in Multimodal Large Language Models Yuexiang Zhai, Shengbang Tong, Xiao Li, Mu Cai, Qing Qu, Yong Jae Lee, Yi Ma

NeurIPS 2023 ReSync: Riemannian Subgradient-Based Robust Rotation Synchronization Huikang Liu, Xiao Li, Anthony Man-Cho So

ICCV 2023 Robust Referring Video Object Segmentation with Cyclic Structural Consensus Xiang Li, Jinglu Wang, Xiaohao Xu, Xiao Li, Bhiksha Raj, Yan Lu

CVPR 2023 SCoDA: Domain Adaptive Shape Completion for Real Scans Yushuang Wu, Zizheng Yan, Ce Chen, Lai Wei, Xiao Li, Guanbin Li, Yihao Li, Shuguang Cui, Xiaoguang Han

CVPR 2023 Structural Multiplane Image: Bridging Neural View Synthesis and 3D Reconstruction Mingfang Zhang, Jinglu Wang, Xiao Li, Yifei Huang, Yoichi Sato, Yan Lu

CVPR 2023 Two-Shot Video Object Segmentation Kun Yan, Xiao Li, Fangyun Wei, Jinglu Wang, Chenbin Zhang, Ping Wang, Yan Lu

NeurIPS 2022 A Unified Convergence Theorem for Stochastic Optimization Methods Xiao Li, Andre Milzarek

NeurIPS 2022 Are All Losses Created Equal: A Neural Collapse Perspective Jinxin Zhou, Chong You, Xiao Li, Kangning Liu, Sheng Liu, Qing Qu, Zhihui Zhu

AAAI 2022 Hybrid Instance-Aware Temporal Fusion for Online Video Instance Segmentation Xiang Li, Jinglu Wang, Xiao Li, Yan Lu

ECCV 2022 Neural Capture of Animatable 3D Human from Monocular Video Gusi Te, Xiu Li, Xiao Li, Jinglu Wang, Wei Hu, Yan Lu

ICML 2022 On the Optimization Landscape of Neural Collapse Under MSE Loss: Global Optimality with Unconstrained Features Jinxin Zhou, Xiao Li, Tianyu Ding, Chong You, Qing Qu, Zhihui Zhu

ACML 2022 Probabilistic Adaptive Spatial-Temporal Regularized Correlation Filters for UAV Tracking Rui Li, Xiao Li

AAAI 2022 Reliable Propagation-Correction Modulation for Video Object Segmentation Xiaohao Xu, Jinglu Wang, Xiao Li, Yan Lu

ECCVW 2022 The Tenth Visual Object Tracking VOT2022 Challenge Results Matej Kristan, Ales Leonardis, Jirí Matas, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Hyung Jin Chang, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Johanna Björklund, Yushan Zhang, Zhongqun Zhang, Song Yan, Wenyan Yang, Dingding Cai, Christoph Mayer, Gustavo Fernández, Kang Ben, Goutam Bhat, Hong Chang, Guangqi Chen, Jiaye Chen, Shengyong Chen, Xilin Chen, Xin Chen, Xiuyi Chen, Yiwei Chen, Yu-Hsi Chen, Zhixing Chen, Yangming Cheng, Angelo Ciaramella, Yutao Cui, Benjamin Dzubur, Mohana Murali Dasari, Qili Deng, Debajyoti Dhar, Shangzhe Di, Emanuel Di Nardo, Daniel K. Du, Matteo Dunnhofer, Heng Fan, Zhenhua Feng, Zhihong Fu, Shang Gao, Rama Krishna Gorthi, Eric Granger, Q. H. Gu, Himanshu Gupta, Jianfeng He, Keji He, Yan Huang, Deepak Jangid, Rongrong Ji, Cheng Jiang, Yingjie Jiang, Felix Järemo Lawin, Ze Kang, Madhu Kiran, Josef Kittler, Simiao Lai, Xiangyuan Lan, Dongwook Lee, Hyunjeong Lee, Seohyung Lee, Hui Li, Ming Li, Wangkai Li, Xi Li, Xianxian Li, Xiao Li, Zhe Li, Liting Lin, Haibin Ling, Bo Liu, Chang Liu, Si Liu, Huchuan Lu, Rafael M. O. Cruz, Bingpeng Ma, Chao Ma, Jie Ma, Yinchao Ma, Niki Martinel, Alireza Memarmoghadam, Christian Micheloni, Payman Moallem, Le Thanh Nguyen-Meidine, Siyang Pan, ChangBeom Park, Danda Pani Paudel, Matthieu Paul, Houwen Peng, Andreas Robinson, Litu Rout, Shiguang Shan, Kristian Simonato, Tianhui Song, Xiaoning Song, Chao Sun, Jingna Sun, Zhangyong Tang, Radu Timofte, Chi-Yi Tsai, Luc Van Gool, Om Prakash Verma, Dong Wang, Fei Wang, Liang Wang, Liangliang Wang, Lijun Wang, Limin Wang, Qiang Wang, Gangshan Wu, Jinlin Wu, Xiaojun Wu, Fei Xie, Tianyang Xu, Wei Xu, Yong Xu, Yuanyou Xu, Wanli Xue, Zizheng Xun, Bin Yan, Dawei Yang, Jinyu Yang, Wankou Yang, Xiaoyun Yang, Yi Yang, Yichun Yang, Zongxin Yang, Botao Ye, Fisher Yu, Hongyuan Yu, Jiaqian Yu, Qianjin Yu, Weichen Yu, Kang Ze, Jiang Zhai, Chengwei Zhang, Chunhu Zhang, Kaihua Zhang, Tianzhu Zhang, Wenkang Zhang, Zhibin Zhang, Zhipeng Zhang, Jie Zhao, Shao-Chuan Zhao, Feng Zheng, Haixia Zheng, Min Zheng, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu, Yueting Zhuang

NeurIPS 2021 A Geometric Analysis of Neural Collapse with Unconstrained Features Zhihui Zhu, Tianyu Ding, Jinxin Zhou, Xiao Li, Chong You, Jeremias Sulam, Qing Qu

AAAI 2021 Bridging Towers of Multi-Task Learning with a Gating Mechanism for Aspect-Based Sentiment Analysis and Sequential Metaphor Identification Rui Mao, Xiao Li

NeurIPS 2021 Convolutional Normalization: Improving Deep Convolutional Network Robustness and Training Sheng Liu, Xiao Li, Yuexiang Zhai, Chong You, Zhihui Zhu, Carlos Fernandez-Granda, Qing Qu

AAAI 2021 Fooling Thermal Infrared Pedestrian Detectors in Real World Using Small Bulbs Xiaopei Zhu, Xiao Li, Jianmin Li, Zheyao Wang, Xiaolin Hu

CoRL 2021 Learning a Risk-Aware Trajectory Planner from Demonstrations Using Logic Monitor Xiao Li, Jonathan DeCastro, Cristian Ioan Vasile, Sertac Karaman, Daniela Rus

CVPR 2021 Look Closer to Segment Better: Boundary Patch Refinement for Instance Segmentation Chufeng Tang, Hang Chen, Xiao Li, Jianmin Li, Zhaoxiang Zhang, Xiaolin Hu

AAAI 2021 TSQA: Tabular Scenario Based Question Answering Xiao Li, Yawei Sun, Gong Cheng

ICML 2021 The Logical Options Framework Brandon Araki, Xiao Li, Kiran Vodrahalli, Jonathan Decastro, Micah Fry, Daniela Rus

CoRL 2020 Differentiable Logic Layer for Rule Guided Trajectory Prediction Xiao Li, Guy Rosman, Igor Gilitschenski, Jonathan DeCastro, Cristian-Ioan Vasile, Sertac Karaman, Daniela Rus

ICLR 2020 Geometric Analysis of Nonconvex Optimization Landscapes for Overcomplete Learning Qing Qu, Yuexiang Zhai, Xiao Li, Yuqian Zhang, Zhihui Zhu

ICML 2020 Latent Space Factorisation and Manipulation via Matrix Subspace Projection Xiao Li, Chenghua Lin, Ruizhe Li, Chaozheng Wang, Frank Guerin

AAAI 2020 Optimal Exploration Algorithm of Multi-Agent Reinforcement Learning Methods (Student Abstract) Qisheng Wang, Qichao Wang, Xiao Li

NeurIPS 2019 A Debiased MDI Feature Importance Measure for Random Forests Xiao Li, Yu Wang, Sumanta Basu, Karl Kumbier, Bin Yu

NeurIPS 2019 A Nonconvex Approach for Exact and Efficient Multichannel Sparse Blind Deconvolution Qing Qu, Xiao Li, Zhihui Zhu

IJCAI 2019 Deep Light-Field-Driven Saliency Detection from a Single View Yongri Piao, Zhengkun Rong, Miao Zhang, Xiao Li, Huchuan Lu

NeurIPS 2018 Dropping Symmetry for Fast Symmetric Nonnegative Matrix Factorization Zhihui Zhu, Xiao Li, Kai Liu, Qiuwei Li

NeurIPS 2015 An Active Learning Framework Using Sparse-Graph Codes for Sparse Polynomials and Graph Sketching Xiao Li, Kannan Ramchandran

CVPRW 2014 Efficient Retrieval from Large-Scale Egocentric Visual Data Using a Sparse Graph Representation Wu Min, Xiao Li, Cheston Tan, Bappaditya Mandal, Liyuan Li, Joo-Hwee Lim

IJCAI 2011 A New Search Engine Integrating Hierarchical Browsing and Keyword Search Da Kuang, Xiao Li, Charles X. Ling

AISTATS 2007 A Bayesian Divergence Prior for Classiffier Adaptation Xiao Li, Jeff Bilmes